Retrieval of Evapotranspiration from Sentinel-2: Comparison of Vegetation Indices, Semi-Empirical Models and SNAP Biophysical Processor Approach
Remote sensing evapotranspiration estimation over agricultural areas is increasingly used for irrigation management during the crop growing cycle. Different methodologies based on remote sensing have emerged for the leaf area index (LAI) and the canopy chlorophyll content (CCC) estimation, essential...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
| Published: |
MDPI
2023
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/14758 https://www.mdpi.com/2073-4395/9/10/663 https://doi.org/10.3390/agronomy9100663 |
Similar Items: Retrieval of Evapotranspiration from Sentinel-2: Comparison of Vegetation Indices, Semi-Empirical Models and SNAP Biophysical Processor Approach
- Analysis of biophysical variables in an onion crop (Allium cepa L.) with nitrogen fertilization by sentinel-2 observations
- índices de vegetación con el software SNAP 7.0: Generación de máscaras y coberturas
- Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes
- Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles
- Milk production systems in Latin America and the Caribbean: biophysical, socio-economic, and environmental performance
- Caracterización de variables para el análisis del índice de vegetación